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Article

Experimental Verification of Real-Time Flow-Rate Estimations in a Tilting-Ladle-Type Automatic Pouring Machine

by 1 and 2,*
1
Course of Mechanical Engineering, Integrated Graduate School of Medicine, Engineering and Agricultural Sciences, University of Yamanashi, Takeda 4-3-11, Kofu 400-8511, Japan
2
Faculty of Engineering, Graduate Faculty of Interdisciplinary Research, University of Yamanashi, Takeda 4-3-11, Kofu 400-8511, Japan
*
Author to whom correspondence should be addressed.
Academic Editors: Alessandro Gasparetto, Stefano Seriani and Lorenzo Scalera
Appl. Sci. 2021, 11(15), 6701; https://doi.org/10.3390/app11156701
Received: 11 June 2021 / Revised: 13 July 2021 / Accepted: 14 July 2021 / Published: 21 July 2021
(This article belongs to the Special Issue Modelling and Control of Mechatronic and Robotic Systems, Volume II)
This paper discusses a real-time flow-rate estimation method for a tilting-ladle-type automatic pouring machine used in the casting industry. In most pouring machines, molten metal is poured into a mold by tilting the ladle. Precise pouring is required to improve productivity and ensure a safe pouring process. To achieve precise pouring, it is important to control the flow rate of the liquid outflow from the ladle. However, due to the high temperature of molten metal, directly measuring the flow rate to devise flow-rate feedback control is difficult. To solve this problem, specific flow-rate estimation methods have been developed. In the previous study by present authors, a simplified flow-rate estimation method was proposed, in which Kalman filters were decentralized to motor systems and the pouring process for implementing into the industrial controller of an automatic pouring machine used a complicatedly shaped ladle. The effectiveness of this flow rate estimation was verified in the experiment with the ideal condition. In the present study, the appropriateness of the real-time flow-rate estimation by decentralization of Kalman filters is verified by comparing it with two other types of existing real-time flow-rate estimations, i.e., time derivatives of the weight of the outflow liquid measured by the load cell and the liquid volume in the ladle measured by a visible camera. We especially confirmed the estimation errors of the candidate real-time flow-rate estimations in the experiments with the uncertainty of the model parameters. These flow-rate estimation methods were applied to a laboratory-type automatic pouring machine to verify their performance. View Full-Text
Keywords: flow-rate estimation; automatic pouring machine; extended Kalman filter flow-rate estimation; automatic pouring machine; extended Kalman filter
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MDPI and ACS Style

Sueki, Y.; Noda, Y. Experimental Verification of Real-Time Flow-Rate Estimations in a Tilting-Ladle-Type Automatic Pouring Machine. Appl. Sci. 2021, 11, 6701. https://doi.org/10.3390/app11156701

AMA Style

Sueki Y, Noda Y. Experimental Verification of Real-Time Flow-Rate Estimations in a Tilting-Ladle-Type Automatic Pouring Machine. Applied Sciences. 2021; 11(15):6701. https://doi.org/10.3390/app11156701

Chicago/Turabian Style

Sueki, Yuta, and Yoshiyuki Noda. 2021. "Experimental Verification of Real-Time Flow-Rate Estimations in a Tilting-Ladle-Type Automatic Pouring Machine" Applied Sciences 11, no. 15: 6701. https://doi.org/10.3390/app11156701

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